Archivio Istituzionale della RicercaIn this study we compare cotton and polyester (Polyethylene terephthalate) (PET) sensory attributes, as a precursor for sensory modification of polyester, for cotton replacement. We systematically identify the key sensory attributes that distinguish cotton from polyester fabrics. Rank Aggregation, Principal Component Analysis (PCA), Agglomerative Hierarchical Clustering (AHC), and the measure of distances are used to process elicited data
CLASSIFICATION AND MEASURE OF QUANTITATIVE DIFFERENCE BETWEEN POLYESTER AND COTTON FABRICS BASED ON SENSORY ANALYSIS / Kamalha, Edwin; Koehl, Ludovic; Campagne, Christine. - ELETTRONICO. - 10:(2016), pp. 1022-1028. (Intervento presentato al convegno International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference tenutosi a Roubaix nel 24-26th, August 2016) [10.1142/9789813146976_0158].
CLASSIFICATION AND MEASURE OF QUANTITATIVE DIFFERENCE BETWEEN POLYESTER AND COTTON FABRICS BASED ON SENSORY ANALYSIS
KAMALHA, EDWIN;
2016
Abstract
In this study we compare cotton and polyester (Polyethylene terephthalate) (PET) sensory attributes, as a precursor for sensory modification of polyester, for cotton replacement. We systematically identify the key sensory attributes that distinguish cotton from polyester fabrics. Rank Aggregation, Principal Component Analysis (PCA), Agglomerative Hierarchical Clustering (AHC), and the measure of distances are used to process elicited data
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https://hdl.handle.net/11583/2705194
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